[Bigbang-dev] Big Bang Notebook Questions Corinne

Corinne Cath corinnecath at gmail.com
Tue Jul 17 09:39:50 CEST 2018


Dear all,



Thanks a ton for putting together the notebook based on my question. Niels
got me all set up and I have been working with it over the last days. It is
excellent! I have some questions about further refinements that would be
very useful for my project and other similar research.



I will indicate per box.



*In [6]: top senders over a time period*

Currently, it gives the absolute numbers, for example, niels ten oever 77.0

It would be great to know what percentage that represents of the total
number of emails sent in the period specified. So, those 77 emails are they
0.5, 5, 50% etc of the total over that period?



*In [7]: number of emails in a time frame*

I was wondering if it would also be possible to indicate the number of
threads versus single emails (with no responses) to get a sense of how
responsive a mailing list is in a certain time period.



In [8]: I would be interested in, for instance, the average number of
emails per user, across multiple years.

It seems that currently, the numbers presented are not the average across
the time specified but the absolute. That might also be because for the
test run, I set



date_from = pd.datetime(2014,10,1,tzinfo=pytz.utc)

date_to = pd.datetime(2015,11,30,tzinfo=pytz.utc)

which is only a little over a year.



Then there is the separate question Niels posted to the list regarding
which mailing list is authoritative because there seem to be twoo.



Because the mailing list archives used for big bang start in 2015 (with the
official start of the hrpc at irtf list, whereas my qualitative analysis
starts in 2014 with the hrpc at article19 mailing list.) This means that it is
hard for me to use the outputs from bigbang, because it reflects a slightly
less complete mailing list than the rest of my analysis does.



Hope this is clear if not do ping me so we can further improve bigbang!

Best,

-- 
Corinne Cath
Ph.D. Candidate, Oxford Internet Institute & Alan Turing Institute

Web: www.oii.ox.ac.uk/people/corinne-cath
Email: ccath at turing.ac.uk & corinnecath at gmail.com
Twitter: @C_Cath
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